Q1 Generally, we will be more interested in association rules having high confidence. However, association rules having
Posted: Fri May 20, 2022 1:00 pm
Q1 Generally, we will be more interested in association
rules having high confidence.
However, association rules having 100% confidence might not be as
interesting as association rules with 99% confidence. Explain why
we would prefer rules with 99% confidence and what they might
indicate.
Q2 A Clustering algorithm is a commonly used techniques for
insight creation in Business Intelligence. List and explain the
different steps of the K-means Clustering
algorithm.
Q3 Use examples to illustrate how we can measure the
similarity or dissimilarity between non-numerical objects for
clustering in a Business Intelligence context.
rules having high confidence.
However, association rules having 100% confidence might not be as
interesting as association rules with 99% confidence. Explain why
we would prefer rules with 99% confidence and what they might
indicate.
Q2 A Clustering algorithm is a commonly used techniques for
insight creation in Business Intelligence. List and explain the
different steps of the K-means Clustering
algorithm.
Q3 Use examples to illustrate how we can measure the
similarity or dissimilarity between non-numerical objects for
clustering in a Business Intelligence context.